Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables booking flights within India via API integrations.
Fetches data from the HackerNews API using a simple server-client architecture.
Provides a starter template for building websites using the deco.cx platform.
Scrapes LinkedIn profile data asynchronously using the RapidAPI LinkedIn Profile Scraper API.
Provides an MCP server for accessing stock market data from the Alphavantage API.
Offers a suite of utility tools, including a calculator, datetime functions, and note-taking, for use with LLMs like Claude.
Orchestrates multiple AI agents with flexible communication protocols for scalable AI applications.
Enables AI models like Claude to create and edit Google Docs through natural language commands.
Connects FIRST Robotics Competition (FRC) data directly to Claude Desktop or Cursor IDE for AI-powered analysis.
Creates a local, privacy-focused LLM agent using Ollama and Gradio, with the Model Context Protocol (MCP) for secure tool calling.
Construct a local client for the Model Context Protocol (MCP) using LlamaIndex to interact with local servers.
Enables voice control and management of Spotify playback through Claude Desktop or other MCP-enabled clients on Windows.
Automates the process of generating essays using an AI-driven planning and execution agent.
Enables dynamic database querying through an LLM-powered chatbot system.
Establishes secure SSH connections and facilitates file transfers to remote hosts, exposing these capabilities as tools for AI-driven workflows.
Extracts SQL statements from MyBatis Mapper XML files, generates mock parameters, and executes tests against databases.
Manages tasks stored in a local `tasks.json` file via a Model Context Protocol server.
Streamlines the development and management of n8n workflows through enhanced context and automation.
Configures comprehensive CI/CD pipelines to ensure code quality and system integration for the Midnight server project.
Manages software projects through well-defined phases, providing structured planning, execution, and enforcement.
Provides intelligent answers to questions about GitHub documentation using local LLMs and vector embeddings.
Provides a framework for building and deploying interactive tools and conversational agents using the Multi-Agent Communication Protocol (MCP).
Offers a standardized interface to comprehensive documentation, guides, and interactive development workflows for the Model Context Protocol.
Integrates search and document retrieval capabilities with ChatGPT using the Model Context Protocol and OpenAI Vector Store.
Exposes existing REST APIs as MCP servers with zero-code configuration.
Automates the integration of backend API JSON with frontend UI components by generating Zod schemas and rendering live previews.
Enables AI agents to understand and interact with the Optics Design System's tokens, components, and documentation.
Integrate AI agents with Backlog to automate project management tasks, issue tracking, and documentation.
Provides a standardized interface for Large Language Models to interact with GitHub and GitLab repositories, issues, and CI/CD pipelines.
Enhances the Gemini CLI experience with specialized Model Context Protocol extensions, notably automating intelligent Git commit message generation.
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